Opportun
San Carlos, CA
1,001-5,000 employees
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Senior Data Analyst
Senior Data Analyst
The Product team is looking for a Senior Data Analyst who will play a critical role in driving the growth of our personal loans business and product strategy.
As a Senior Data Analyst specializing in Data Cataloguing and Platform, you will play a crucial role in organizing, analyzing, and optimizing our data infrastructure. Your primary responsibilities will include building and maintaining a comprehensive data catalog, ensuring data quality, and collaborating with cross-functional teams to enhance our data platform capabilities. This role requires a strong analytical mindset, attention to detail, and a deep understanding of data governance principles.
In this role, you will leverage multiple data sources, develop a deep understanding of our various products, and practice analytical rigour in making product feature recommendations that will ultimately improve customer experience & conversion within the acquisition funnel while controlling for risk & fraud. The right candidate for this role will demonstrate a high level of curiosity, a fierce dedication to accuracy & excellence, and a strong knack for solving complex problems with innovative & simple solutions that challenge the status quo. This highly visible role is an exciting opportunity in a fast-paced organization where your contributions will drive meaningful impact on broadening access to Oportun’s affordable and credit building loans.
Key Responsibilities:
Reporting: Create and maintain detailed reports and dashboards to track product performance and KPIs.
Data Cataloguing:
- Develop and maintain a centralized data catalog that includes metadata, lineage, and data dictionaries.
- Collaborate with data owners and stakeholders to ensure accurate and up-to-date information in the data catalog.
- Implement and enforce data cataloguing best practices and standards.
Data Platform Management:
- Work closely with the Data Engineering team to optimize and streamline data platform architecture.
- Identify and implement improvements to enhance data storage, processing, and retrieval efficiency.
- Provide support in the integration of new data sources and technologies into the existing data platform.
Data Quality Assurance:
- Establish and implement data quality checks and validation processes.
- Monitor data quality issues and work with relevant teams to address and resolve discrepancies.
- Create and maintain documentation outlining data quality standards and procedures.
Collaboration:
- Collaborate with cross-functional teams, including data engineers, business analysts, and data scientists, to understand data requirements and ensure the availability of high-quality data.
- Communicate effectively with stakeholders to gather and document data cataloguing needs.
Customer Insights: Leverage customer feedback, surveys, and research to understand user behavior, preferences, and pain points.
Competitive Analysis: Analyze competitors' products and strategies to identify opportunities for Oportun's product differentiation.
Cross-Functional Collaboration: Work closely with various teams, including marketing, compliance, and operations, to align product strategies with business goals.
Qualifications:
- Passion and drive to disrupt the lending and financial industry for the better
- Bachelor's degree or higher in a quantitative field preferred
- 4+ years of experience in an analytically-driven role (in analytics, data science, finance, or related fields)
- Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment.
- Strong interpersonal skills and ability to influence cross-functionally, driving effective communication to technical and non-technical leaders.
- Strong working knowledge of SQL and/or experience with Python and an ability to think in systems.
- Excellent data story-telling abilities and experience with data visualization and BI tools (Domo, Tableau, Looker, Power BI, etc.)
- Bonus points for experience with Spark and Databricks
- Sufficient laziness to want to automate everything.